Integrating mouse oral trial, LC-HRMS-based untargeted metabolomics and network pharmacology for screening bioactive components of Astragalus membranaceus curing type-II diabetes mellitus (T2DM)
文献类型: 外文期刊
作者: Chao Tang;Shuangnan Xie;Hongtao Jia;Qi Shen;Weizhong He;Bin Li;Shiyi Deng;Jing Tang;Zhi Liu;Cheng Wang
作者机构:
关键词: AntDAS;Astragalus membranaceus;Bioactive component;QSERA;T2DM;Untargeted metabolomics
期刊名称: Fitoterapia
ISSN: 0367-326X
年卷期: 2025 年 188 卷
页码:
收录情况: SCIE(2025版)
摘要: Astragalus membranaceus (AM), a well-known traditional Chinese medicine (TCM), has been found to exhibit significant therapeutic effects on T2DM. The mechanism of AM (root) extract ameliorating diabetes and its medicinal components were deep inverstigated in this work. A mouse oral trial, LC-HRMS-based untargeted metabolomics, quantitative spectrum effect relationship analysis (QSERA), and network pharmacology was integrated for this studying. With the aid of data-mining by AntDAS (Automatic Data Analysis Strategy) platform, 59 bioactive compounds involved in the Leprdb/db mouse model of T2DM therapy were screened from LC-HRMS fingerprints of AM (root) extract even in the presence of heavily interfered background. The key bioactive AM (root) metabolites, astragaloside and l-arabinose, influence T2DM targets including IL2 and HSP90AA1. Molecular docking experiment revealed high-affinity binding between astragaloside and l-arabinose and these core targets. QSERA predicted the specific regulatory effects of bioactive compounds on T2DM in mice. This integrated approach provides a novel strategy for interpreting the pharmacodynamic effects of AM (root) extract in T2DM, which may facilitate the clinical application of traditional Chinese medicine.
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